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Region Evolution eXplorer - A tool for discovering evolution trends in ontology regions
Victor Christen1, Michael Hartung2, Anika Groß2
1Department of Computer Science, Universität Leipzig, Augustusplatz 10, Leipzig, Germany.
Life science ontologies evolve over time. The Region Evolution eXplorer (REX) system helps analyze these changes, identifying stable and unstable ontology regions for better application and development.
Area of Science:
- Bioinformatics
- Computational Biology
- Ontology Engineering
Background:
- Numerous life science ontologies exist for applications like gene annotation and functional analysis.
- Ontologies require adaptation due to new scientific insights, necessitating the study of their evolution.
- Understanding ontology changes aids in improving their development and application.
Purpose of the Study:
- To develop a system for exploring the evolution of specific parts (regions) within life science ontologies.
- To provide a platform for analyzing changes and trends in ontology development over time.
Main Methods:
- Development of REX (Region Evolution eXplorer), a web-based system.
- Analysis of approximately 1,000 versions from 16 prominent life science ontologies.
- Implementation of interactive workflows for explorative analysis of ontology regions.
Main Results:
- REX offers a platform to analyze the evolution of approximately 1,000 versions of 16 life science ontologies.
- Interactive workflows enable the study of changing ontology regions and long-term evolution trends.
Conclusions:
- REX is a user-friendly web application for identifying stable and unstable regions in large life science ontologies.
- The system facilitates monitoring ontology evolution for improved development and application.
- REX is accessible at http://www.izbi.de/rex.
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